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Josefa Linares-Pérez
- > Home > Persons > Josefa Linares-Pérez
Publications
- 2010
- [j39]Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez, Seiichi Nakamori:
Signal estimation with multiple delayed sensors using covariance information. Digit. Signal Process. 20(2): 528-540 (2010) - [j38]Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez:
Recursive smoothing algorithms for the estimation of signals from uncertain observations via mixture approximations. Int. J. Syst. Sci. 41(6): 647-656 (2010) - 2009
- [j36]Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez, Seiichi Nakamori:
Recursive estimation of discrete-time signals from nonlinear randomly delayed observations. Comput. Math. Appl. 58(6): 1160-1168 (2009) - [j35]Josefa Linares-Pérez, Aurora Hermoso-Carazo, Raquel Caballero-Águila, José D. Jiménez-López:
Least-squares linear filtering using observations coming from multiple sensors with one- or two-step random delay. Signal Process. 89(10): 2045-2052 (2009) - 2008
- [j34]Aurora Hermoso-Carazo, Josefa Linares-Pérez, José D. Jiménez-López, Raquel Caballero-Águila, Seiichi Nakamori:
Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty. Appl. Math. Comput. 203(1): 243-251 (2008) - [j31]Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez:
Recursive Estimation Algorithm Based on Covariances for Uncertainly Observed Signals Correlated with Noise. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 91-A(7): 1706-1712 (2008) - [j30]Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez:
Polynomial fixed-point smoothing of uncertainly observed signals based on covariances. Int. J. Syst. Sci. 39(2): 207-216 (2008) - [j28]José D. Jiménez-López, Josefa Linares-Pérez, Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo:
Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors. Signal Process. 88(12): 2998-3006 (2008) - 2007
- [j23]Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez:
Filtering and prediction from uncertain observations with correlated signal and noise via mixture approximations. Signal Process. 87(5): 970-982 (2007) - 2006
- [j22]Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez:
Least-squares nuth-order polynomial estimation of signals from observations affected by non-independent uncertainty. Appl. Math. Comput. 176(2): 642-653 (2006) - 2004
- [j11]Seiichi Nakamori, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez:
Chandrasekhar-type filter for a wide-sense stationary signal from uncertain observations using covariance information. Appl. Math. Comput. 151(2): 315-325 (2004) - [c1]Seiichi Nakamori, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez:
Continuous-Time Signal Filtering from Non-Independent Uncertain Observations. ICINCO (3) 2004: 324-327
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